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Page 1: What are the Different Tools in Data-Driven Marketing?

What are thedifferent toolsin data-drivenmarketing?An Academic presentation by

Dr. Nancy Agnes, Head, Technical Operations, Statswork Group  www.statswork.comEmail: [email protected]

Page 2: What are the Different Tools in Data-Driven Marketing?

Outline

TODAY'S DISCUSSION

INTRODUCTION

DATA-DRIVEN MARKETING TOOLS

AI MARKETING:

REPORTING

CONCLUSION

Page 3: What are the Different Tools in Data-Driven Marketing?

Data-driven marketing is a term that refers to marketing tactics that are basedon insights gleaned from the analysis of large data acquired via customerinteractions and engagements to forecast future behaviour.

This entails knowing what consumer data you have, what data you can obtain,and how to organize, analyze, and utilize that data to improve your marketingefforts.

This type of marketing varies from traditional marketing in that it allowscompanies to engage with customers at the right time, in the right place, andwith the right product.

When good data and analytics don't back up traditional marketing, it entailsmany trials and errors.

Personalization, better targeting, and accurate benchmarking are all possiblewith data-driven marketing, allowing marketers to improve their tactics overtime.

INTRODUCTION

Page 4: What are the Different Tools in Data-Driven Marketing?
Page 5: What are the Different Tools in Data-Driven Marketing?

Here are a few tools to think about for tracking, managing, and analyzing your customerdata

Automation: E-commerce, app, and store data can all be integrated into your customerengagement platform's automation layer and used across all campaigns and channels.

Look for automation systems that include campaign data so you can track revenue growthas well.

Fully integrated omnichannel automation streamlines your marketing across all touchpoints,not just specific channels, and simplifies cross-channel execution.

Data-Driven Marketing Tools

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By incorporating artificial intelligence and predictive analytics into your marketingstrategy, you may unlock hitherto untapped income potential by anticipating and, moreprecisely, forecasting your consumers' successive movements.

Before they churn, become inactive, or abandon cart, AI learns your customers' habitsand uses data in real time to engage them with relevant, contextual customizedcommunications.

Artificial Intelligence, in conjunction with your automation technology, may assist youin optimizing send timings so that your communications reach clients at their mostresponsive moments.

AI MARKETING

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Today's marketing teams are expected to make a difference in business outcomes;therefore, measuring marketing's influence on revenue is crucial.

You may make data-driven decisions that benefit your company's bottom line if you use acustomer engagement platform with built-in revenue attribution.

Although marketing's primary goal should be to create exceptional customerexperiences, you'll need a platform that provides detailed data on operational andstrategic metrics, as well as keeps you informed about which channels are most lucrativeand where you're driving growth.

REPORTING

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CONCLUSIONData-driven marketing has a bright future ahead of it. Data-drivensolutions are becoming an essential element of practical marketingefforts, alongside predictive and artificial intelligence marketing.

This is due in large part to customers' evolving demands andexpectations for more customized experiences.

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